Discovering structures in video databases

被引：0
|
作者：
Hajji, H
Hacid, MS
Toumani, F
机构：
[1] Univ Lyon 1, LIRIS, F-69622 Villeurbanne, France
[2] ISIMA, Lab LIMOS, F-63173 Aubiere, France
来源：
FOUNDATIONS OF INTELLIGENT SYSTEMS | 2003年 / 2871卷
关键词：
mining multimedia data; concepts classification; reasoning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an automated technique that combines manual annotations and knowledge produced by an automatic content characterization technique(1) to build higher level abstraction of video content. We develop a method based on concept languages for automatically discovering structural associations within video sequences. The obtained abstraction of the contents of video sequences can be used, by navigating the tree structure.
引用
收藏
页码：598 / 602
页数：5
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